Scientific Method

Scientists often find that their hypothesis was not supported, and in such cases they will construct a new hypothesis based on the information they learned during their experiment. This starts the entire process of the scientific method over again. Even if they find that their hypothesis was supported, they may want to test it again in a new way.

Please keep the above statement in mind while investigating the claims that modern science makes about the nature of our home. Basically, if you find that the results of your experiment, including all of your visual observations, contradict your hypothesis – you must throw away your theory and start over OR adjust your theory to accommodate the inconsistencies you’ve witnessed.

Most of you will be very familiar with the concept below. In fact, it only makes sense. This ensures that we don’t buy into, promote and promulgate any theory which has inconsistencies with OBSERVED RESULTS. The key here is that the population of the earth has bought into a concept, which, while a lot of it makes sense on paper, deviates gravely from what we experience in reality. If just one observed phenomenon cannot be explained by a theory, the theory must be revised in order to accommodate the result, or, better yet, throw it away entirely. Start over. This is where the whole round-earth spinning on it’s axis, revolving around the sun, which then revolves around the centre of the Milky Way Galaxy at unimaginable speeds – completely, totally and definitively, breaks down.

Scientific Method

The scientific method entails steps of scientific investigation from observation to experimentation to conclusion. First, pay attention to the world around you, especially the parts that relate to your topic of interest. Based on your observations, make a hypothesis — an educated guess — about how the world works. Next, devise an experiment that would test your hypothesis, and predict the results of the experiment if the hypothesis is true. Run the experiment, and draw conclusions based on the results.

Review Experimental Conditions

Before you jump to the conclusion that the hypothesis is false when the results don’t appear to support it, make sure your experiment is free from flaws in design and execution. Control every variable except the one you’re testing. For example, if you want to test the optimum amount of water to give a flower, make sure the amount of water is the only thing that differs in the experiment. Use the same type of flower, in the same amount of sunlight, in the same soil, and with the same type and amount of plant food. Also make sure your “sample size” — the number of flowers watered — is large enough to draw reasonable conclusions. If you only test two flowers, you cannot determine the best way to water those flowers.

Revise the Hypothesis

Once you’re sure your experiment is well-constructed but does not support your hypothesis, use that information to make a new hypothesis with a new prediction. In our flower example, if you don’t find a single amount of water that results in optimum growth, you might change your hypothesis to state that the amount of sunlight — not the amount of water — is the primary factor that influences plant growth. Design a new experiment to test this new hypothesis.

Draw Conclusions

Even a “failed” experiment can yield results that lead to conclusions. In the flower example, if you find that many different amounts of water result in the same level of growth, then you may state this result as the conclusion of that particular experiment. Be careful not to overstate your results. Don’t say water doesn’t matter in plant growth; just say your particular type of flower grows well under the range of different amounts of water that you tested.

In the video below, listen out for the reference to only using published encyclopedias and science books for “information”, rather than blogs or other online publications!

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